import gradio as gr
import cv2
import time
from urllib.parse import parse_qs, urlparse

TESTdevice = "cpu"
index = 1

def mainTest(inputpath, outpath):
    watermark = deep_nude_process(inputpath)
    watermark1 = cv2.cvtColor(watermark, cv2.COLOR_BGRA2RGBA)
    return watermark1

def deep_nude_process(inputpath):
    dress = cv2.imread(inputpath)
    h = dress.shape[0]
    w = dress.shape[1]
    dress = cv2.resize(dress, (512, 512), interpolation=cv2.INTER_CUBIC)
    watermark = process(dress)
    watermark = cv2.resize(watermark, (w, h), interpolation=cv2.INTER_CUBIC)
    return watermark

def inference(img):
    global index
    bgra = cv2.cvtColor(img, cv2.COLOR_RGBA2BGRA)
    inputpath = f"input_{index}.jpg"
    cv2.imwrite(inputpath, bgra)

    outputpath = f"out_{index}.jpg"
    index += 1
    print(time.strftime("START!!!!!!!!! %Y-%m-%d %H:%M:%S", time.localtime()))
    output = mainTest(inputpath, outputpath)
    print(time.strftime("Finish!!!!!!!!! %Y-%m-%d %H:%M:%S", time.localtime()))
    return output

def get_css(bg_color, width, height):
    return f"""
    body {{
        background-color: {bg_color};
        color: white;
        overflow: hidden; /* Prevent scrolling */
    }}
    .gradio-container {{
        background-color: {bg_color} !important;
        border: none !important;
        width: {width} !important;  /* Set the width */
        height: {height} !important; /* Set the height */
        max-width: 100%; /* Ensure it does not exceed the container's width */
        max-height: 100%; /* Ensure it does not exceed the container's height */
        overflow: scroll; /* Prevent internal scrolling */
    }}
    footer {{display: none !important;}} /* Hide footer */
    """

def update_status(img):
    return inference(img), gr.update(value="Processing complete!")

def create_interface(request):
    query_params = parse_qs(urlparse(request.url).query)
    bg_color = query_params.get('bg_color', ['rgb(17, 24, 39)'])[0]
    width = int(query_params.get('width', ['auto'])[0])
    height = int(query_params.get('height', ['100%'])[0])

    css = get_css(bg_color, width, height)
    
    with gr.Blocks(css=css) as demo:
        with gr.Column():
            image_input = gr.Image(type="numpy", label="Upload Image", height=height, width=width)
            process_button = gr.Button("Process Image")
            status = gr.Markdown(value="")

        process_button.click(update_status, inputs=image_input, outputs=[image_input, status])

    return demo

demo = gr.Interface(create_interface, inputs=[], outputs=[])

demo.launch()